Jieshu Wang

Published Papers

• Wang, J., & Lobo, J. (2024). Extensive growth of inventions: Evidence from U.S. patenting. Technological Forecasting and Social Change, 207, 123586. https://doi.org/10.1016/j.techfore.2024.123586
• Wang, J., Kiran, E., Aurora, S. R., Simeone, M., & Lobo, J. (2024). ChatGPT on ChatGPT: An Exploratory Analysis of its Performance in the Public Sector Workplace. Digital Government: Research and Practice. https://doi.org/10.1145/3676281
• Wang, J., Lobo, J., Shutters, S. T., & Strumsky, D. (2024). Fueling a net-zero future: The influence of government-funded research on climate change mitigation inventions. Environmental Innovation and Societal Transitions, 51, 100836. https://doi.org/10.1016/j.eist.2024.100836
• Wang, J., Maynard, A., Lobo, J., Michael, K., Motsch, S., & Strumsky, D. (2024). Knowledge Combination Analysis Reveals That Artificial Intelligence Research Is More Like “Normal Science” Than “Revolutionary Science.” Proceedings of the 57th Hawaii International Conference on System Sciences, 5598--5607. https://hdl.handle.net/10125/107058
• Hsu, J. H.-P., Wang, J., & Lee, M. (2022). Towards an Expectation-Oriented Model of Public Service Quality: A Preliminary Study of NYC 311. In F. Hopfgartner, K. Jaidka, P. Mayr, J. Jose, & J. Breitsohl (Eds.), Social Informatics(pp. 447–458). Springer International Publishing. https://doi.org/10.1007/978-3-031-19097-1_31
• Lee, M., Wang, J., Janzen, S., Winter, S., & Harlow, J. (2021). Crowdsourcing Behavior in Reporting Civic Issues: The Case of Boston’s 311 Systems. Academy of Management Proceedings, 2021(1), 16532. https://doi.org/10.5465/AMBPP.2021.16532abstract
• Pine, K. H., Hinrichs, M. M., Wang, J., Lewis, D., & Johnston, E. (2020). For Impactful Community Engagement: Check Your Role. Communications of the ACM, 63(7), 26–28.

Book Chapters

• [In press] Hinrichs, M., Wang, J., Roe, C., & Johnston, E. W. (2025). AI integration in public service: A case study from Peoria, Illinois. In Participatory Artificial Intelligence in Public Social Services: From Bias to Fairness in Assessing Beneficiaries. Springer Nature Switzerland.

Working Papers, Preprints, and Technical Reports

• Li, R., & Wang, J. (2025). The Impact of Generative AI on the Urban Transportation Workforce. [Working Paper]
• Shutters, S. T., Lobo, J., & Wang, J. (2023). The Role of Occupational Socialness on the Productivity of Metropolitan Economies. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4659919
• Bernstein, M. J., Wang, J., Bevaresh, S., Keeler, L. W., & Basile, G. (2021). Social Value in Sustainability Assessment and Reporting. Arizona State University, School for the Future of Innovation in Society, Global Futures Laboratory, and The Global KAITEKI Center. 

Manuscripts Submitted

• [Submitted] Wang, J., & Maynard, A. (2025). Unpacking Gender Disparity in U.S. Patenting. 

Conference/Workshop Presentations

• Wang, J., Lobo, J., & Shutters, S. (2024). Poster: Using LLMs to Find Sustainability Capacity. National Sustainability Society Conference, Seattle, WA, U.S. 
• Wang, J., & Solís, P. (2024). Latent Workforce Capacities for Heat Solutions in Arizona. National Sustainability Society Conference, Seattle, WA, U.S. 
• Kim, S., & Wang, J. (2024). Identifying Environmental Bias in Large Language Models. National Sustainability Society Conference, Seattle, WA, U.S. 
• Wang, J., Aurora, S. R., Johnston, E. W., & Hinrichs, M. (2024). Nothing about AI, Without AI: An Integrative Framework to Co-Produce Futures of Work. Open and User Innovation Conference (Harvard Business School), Boston, MA. https://web.cvent.com/event/42f1768e-22f6-4d20-b7b1-6a7ee084d8ce/summary
• Wang, J. (2024). Workforce Safety and Development with Extreme Heat. Extreme Heat Policy Innovation Summit, Washington, D.C. https://fas.org/extreme-heat-summit/
• Wang, J. (2022). Artificial Intelligence is already here. It’s just not evenly distributed. Conference on Governance of Emerging Technologies and Science, Phoenix, AZ, U.S.
• Lee, M., Harlow, J., Gordon, E., Wang, J., Johnston, E., Janzen, S., & Winter, S. (2020). Toward Understanding Civic Data Bias in 311 Systems: An Information Deserts Perspective. ACM CSCM 2020, ACM 978-1-4503-6819-3/20/04.
• Wang, J. (2018). The History of Artificial Intelligence in China: 1950s—1980s. Annual Meeting of the Society for the History of Technology (SHOT), St. Louis, MO, U.S. [URL] 

Invited Talks

• Wang, J. (2024, October). Using LLMs to Analyze Workforce Data for Sustainability Research. Center for Behavior, Institutions and the Environment, Arizona State University, Tempe, AZ, U.S.
• Wang, J. (2024, March). Introduction to Patent Data Analysis. Decision Theater, Arizona State University, Tempe, AZ, U.S.
• Wang, J. (2024, March). Artificial Intelligence, Science of Science, and Future of Work. Center on Technology, Data, and Society, Arizona State University, Phoenix, AZ, U.S.
• Wang, J. (2022, December). Crowdsourcing Cities: Exploring 311 Data [remote talk]. Northwestern Institute on Complex Systems (NICO), Kellogg School of Management at Northwestern University, Evanston, IL, U.S.
• Wang, J. (2019, January). The Future of Artificial Intelligence [Open Student Mini Workshop]. Artificial Wisdom Research Group, Graduate School of Advanced Integrated Studies in Human Survivability (GSAIS, aka Shishu-Kan), Kyoto University, Kyoto, Japan. https://aw.gsais.kyoto-u.ac.jp/images/poster20190119.pdf

Translations

• Menuez, D. (2021). 无畏的天才(Fearless Genius: The Digital Revolution in Silicon Valley 1985-2000) (J. Wang, Trans.). China Textile Press.
• Baumberg, J. J. (2021). 科学的隐忧：科学是如何工作与共享的(The Secret Life of Science: How it Really Works and Why It Matters) (J. Wang, Trans.). CITIC Press Corporation.
• Tegmark, M. (2018). 生命3.0 (Life 3.0: Being Human in the Age of Artificial Intelligence) (J. Wang, Trans.). Beijing, China: Cheers Publishing. 
  • Won the Best Books of the Year Award from the 21st Century Institute of Economic Research
• Kaplan, J. (2018). 人人都应该知道的人工智能 (Artificial Intelligence: What Everyone Needs to Know) (J. Wang, Trans.). Beijing, China: Cheers Publishing.
• Tegmark, M. (2017). 穿越平行宇宙(Our Mathematical Universe: My Quest for the Ultimate Nature of Reality) (J. Wang, Trans.). Cheers Publishing.

Selected Blog Posts and other public works

• Wang, J. (2021). AI-augmented Innovation Must Bend the Spoon. Jieshu’s Blog. [URL]
• Wang, J. (2018). How to Expect a Smart Future: An Essay on Artificial Intelligence, Responsible Innovation, and Anticipatory Governance. Jieshu’s Blog. [URL]
• Wang, J. (2018). The AI with Three Faces: A Hierarchical Framework for Analyzing AIs in Science Fiction Films. Jieshu’s Blog. [URL]
• Wang, J. (2017). Symbolism vs. Connectionism: A Closing Gap in AI. Jieshu’s Blog. [URL] 
• Wang, J. (2017). How Will AI Impact Jobs? Jieshu’s Blog. [URL] 
• Wang, J. (2017). The Semiotics of Music: From Peirce to AI. Jieshu’s Blog. [URL] 
• Wang, J. (2015). How does AI Help Humans Fight HIV? Jieshu’s Blog. [URL]
• 科技之巅：50大全球突破性技术深度剖析 (The Peak of Technology: In-Depth Interpretations of the 50 Breakthrough Technologies). 1st Edition. Posts & Telecom Press, 2016. 
• Co-authored 17/50 chapters, including Deep Learning, Agile Robots, Baxter: The Blue-Collar Robot, 3D Transistors, etc.